Results 11 to 20 of about 2,924,848 (261)
EV Scheduling Framework for Peak Demand Management in LV Residential Networks [PDF]
Increased electrification in the residential and transport sectors is changing the energy demand profiles significantly, which results in reshaped peak demand. These changes in demand profiles can cause grid overloading and jeopardize network reliability
Irshad, UB +4 more
core +1 more source
Scenario analysis of residential demand response at network peak periods [PDF]
Electricity demand response refers to consumer actions that change the utility load profile in a way that reduces costs or improves grid security.
Krumdieck, S. +3 more
core +1 more source
Electrical energy future of Saudi Arabia: Challenges and opportunities
The economy of Saudi Arabia is primarily oil-based, and the energy system is heavily dependent on fossil fuel sources. Electrical demand in Saudi Arabia has been overgrowing due to the high rates of both population and economy.
Hani A. Aldhubaib
doaj +1 more source
Scheduling Non-Preemptible Jobs to Minimize Peak Demand
This paper examines an important problem in smart grid energy scheduling; peaks in power demand are proportionally more expensive to generate and provision for. The issue is exacerbated in local microgrids that do not benefit from the aggregate smoothing
Sean Yaw, Brendan Mumey
doaj +1 more source
Synthetic residential load models for smart city energy management simulations
The ability to control tens of thousands of residential electricity customers in a coordinated manner has the potential to enact system-wide electric load changes, such as reduce congestion and peak demand, among other benefits. To quantify the potential
Fernando B. dos Reis +3 more
doaj +1 more source
Demand Side Response to Mitigate Electrical Peak Demand in Eastern and Southern Australia [PDF]
The aim of this work is to develop a Demand-Side-Response (DSR) model, which assists electricity end-users to be engaged in mitigating peak demands on the electricity network in Eastern and Southern Australia.
Marwan, M. +3 more
core +2 more sources
Predicting peak day and peak hour of electricity demand with ensemble machine learning
Battery energy storage systems can be used for peak demand reduction in power systems, leading to significant economic benefits. Two practical challenges are 1) accurately determining the peak load days and hours and 2) quantifying and reducing ...
Tao Fu +4 more
doaj +1 more source
Technical analysis of utilization suitability of various wind rotors types for compressors power driving [PDF]
Conception is from the converting of wind energy, which flows across the wind turbine in mechanic work needed for compressor working. The wind motor one part of energy transform into mechanical work, part of energy is unused and part of energy of stead ...
Radim Rybár, Dušan Kudelas
doaj
Social, technological and climatic changes will transform the way energy is consumed over the 21st century, with important implications for energy networks and greenhouse gas emissions.
Mathew J Lipson +3 more
doaj +1 more source
Life-cycle assessment of batteries for peak demand reduction
At present, a life-cycle assessment of energy storage systems (ESSs) is not widely available in the literature. Such an assessment is increasingly vital nowadays as ESS is recognized as one of the important equipment in power systems to reduce peak ...
Dylon Hao Cheng Lam +3 more
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